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ThinkMind // ICQNM 2018, The Twelfth International Conference on Quantum, Nano/Bio, and Micro Technologies // View article icqnm_2018_1_10_60036
A New Parallel Adaptive DSMC Algorithm for Unsteady Flows in Complex Geometries
 Authors:
Mirvat Shamseddine
Issam Lakkis Keywords: DSMC; Octree hierarchical grid; Spatially adaptive; Parallel; Rarefied gas flow; Ray tracing; Unsteady; Complex geometry. Abstract:
We present an efficient parallel multi-scale Direct Simulation Monte Carlo (DSMC) algorithm for the simulation of three-dimensional unsteady rarefied gas flows over complex geometries. The flow domain is represented by a hierarchical octree-based Cartesian grid where three-dimensional solid objects with triangulated surfaces are incorporated using a cut-cell algorithm. The hierarchical octree domain representation allows the method to provide straightforward and efficient data management suitable for a particle-tracing and dynamic grid refinement and coarsening. The algorithm implements a spatial adaptivity scheme that is based on the gradients of statistically averaged macro-properties of the flow. The proposed DSMC algorithm employs a novel parallelization scheme suitable for simulating strongly unsteady, non-equilibrium flows. The parallelization scheme, implemented using Open Multi-Processing (OpenMP) for multicore Central Processing Units (CPUs), significantly reduces the computational cost of modeling these flows. The proposed DSMC algorithm is assessed for two fundamental flows in the slip and transition-continuum regimes. Pages: 1 to 6 Copyright: Copyright (c) IARIA, 2018 Publication date: September 16, 2018 Published in: conference ISSN: 2308-3530 ISBN: 978-1-61208-665-1 Location: Venice, Italy Dates: from September 16, 2018 to September 20, 2018
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